Network selection for remote healthcare systems through mapping between clinical and network parameter

Abstract

The paper presents fuzzy based approach to select best suited network for remote healthcare services. A direct mapping between clinical parameters and corresponding QoS network parameters is done. The paper proposes an application independent integrated system where stage of the disease is identified based on the fuzzified clinical parametric values which are critical for that disease. Based on critical nature of the disease i.e. stage of disease, the requirements of network QoS are defined in linguistic terms. This eliminates strict sense condition on any specific network and selects most suited network out of all available networks. The objective is to avoid denial of service in case of unavailability of a network with high QoS values and also to conserve resources in case the patient is in normal condition medically. A simulation study has been presented to verify the selection of the network based on stage of disease.